{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a63c0e19-3902-44ee-9b02-ba7ecfdb5268",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "Files already downloaded and verified\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bowl  trout tulip worm  rabbit wardrobe baby  snail bus   man   skunk skunk bowl  worm  couch telephone cattle lamp  camel tractor tractor squirrel road  possum house flatfish raccoon willow_tree palm_tree kangaroo telephone chimpanzee\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "from useful_tools import *\n",
    "import torch.optim as optim\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "from chao_kk import *\n",
    "from torch.optim import lr_scheduler\n",
    "\n",
    "\n",
    "batch_size = 32\n",
    "trainloader, testloader, classes = get_strong_dataLoader_RandAugment(batch_size)\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def imshow(img):\n",
    "    img = img / 2 + 0.5     # unnormalize\n",
    "    npimg = img.numpy()\n",
    "    plt.imshow(np.transpose(npimg, (1, 2, 0)))\n",
    "    plt.show()\n",
    "dataiter = iter(trainloader)\n",
    "images, labels = next(dataiter)\n",
    "imshow(torchvision.utils.make_grid(images))\n",
    "print(' '.join(f'{classes[labels[j]]:5s}' for j in range(batch_size)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a20afd9-e695-4f86-b63b-3c0806770d13",
   "metadata": {},
   "outputs": [],
   "source": [
    "def padding_size(dilation, kernel_size):\n",
    "  return dilation * (kernel_size - 1) // 2\n",
    "\n",
    "def conv3x3(in_channel, out_channel, stride, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 3, stride = stride, padding = padding_size(dilation, 3), bias = False, dilation = dilation)\n",
    "\n",
    "def conv1x1(in_channel, out_channel, stride = 1, dilation = 1):\n",
    "  return nn.Conv2d(in_channel, out_channel, kernel_size = 1, stride = stride, padding = 0, bias = False, dilation = dilation)\n",
    "\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8a1eb695-87a9-4d22-a3f7-b19a22baf1e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "class ResBlock(nn.Module):\n",
    "  def __init__(self, in_channel, out_channel, stride, downsample = None, dilation = 1):\n",
    "    super(ResBlock, self).__init__()\n",
    "    self.conv1 = conv3x3(in_channel, out_channel, stride, dilation)\n",
    "    self.bn1 = nn.BatchNorm2d(out_channel)\n",
    "    self.conv2 = conv3x3(out_channel, out_channel, 1, dilation)\n",
    "    self.bn2 = nn.BatchNorm2d(out_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.downsample = downsample\n",
    "\n",
    "  def forward(self, x):\n",
    "    shortcut = x\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn1(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2(x)\n",
    "    x = self.bn2(x)\n",
    "    if self.downsample != None:\n",
    "      shortcut = self.downsample(shortcut)\n",
    "    x += shortcut\n",
    "    return x\n",
    "\n",
    "class ResNet(nn.Module):\n",
    "  def __init__(self, classes, base_channel = 64):\n",
    "    super(ResNet, self).__init__()\n",
    "    # 老实说，我怕64、128……512通道实在是太慢了，通过base_channel来调节通道。感觉可以设置为16\n",
    "    self.base_channel = base_channel\n",
    "    self.conv1 = conv3x3(3, base_channel, 1)\n",
    "    self.bn = nn.BatchNorm2d(base_channel)\n",
    "    self.relu = nn.ReLU()\n",
    "    self.max_pool = nn.MaxPool2d(kernel_size = 2, stride = 2)\n",
    "    self.conv2_x = self.init_ResBlock(base_channel * 1, base_channel * 1, stride = 1, block_num = 2, dilation = 1)\n",
    "    self.conv3_x = self.init_ResBlock(base_channel * 1, base_channel * 2, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.conv4_x = self.init_ResBlock(base_channel * 2, base_channel * 4, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.conv5_x = self.init_ResBlock(base_channel * 4, base_channel * 8, stride = 2, block_num = 2, dilation = 1)\n",
    "    self.avg = nn.AvgPool2d(kernel_size = 2, stride = 2)\n",
    "    self.fc = nn.Linear(base_channel * 8 * 4, len(classes))\n",
    "    self.dropout = nn.Dropout(0.3)\n",
    "\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.conv1(x)\n",
    "    x = self.bn(x)\n",
    "    x = self.relu(x)\n",
    "    x = self.conv2_x(x)\n",
    "    x = self.conv3_x(x)\n",
    "    x = self.conv4_x(x)\n",
    "    x = self.conv5_x(x)\n",
    "    x = self.avg(x)\n",
    "    x = x.view(x.size(0), -1)\n",
    "    x = self.fc(x)\n",
    "    x = self.dropout(x)\n",
    "    return x\n",
    "\n",
    "  def init_ResBlock(self, in_channel, out_channel, stride, block_num, dilation):\n",
    "    downsample = None #这个好东西是用来把特征图宽高缩小的\n",
    "    if stride != 1 or in_channel != out_channel:\n",
    "      # 对于3*3的padding为1的卷积核，如果stride为1的话卷完后特征图宽高是不变的。\n",
    "      # 如果stride是2的话，那么宽高会变成原来的一半。\n",
    "      # 计算：out = (in/2 - 1/2)向下取整 + 1， 也就是in/2 - 1 + 1 = in / 2\n",
    "      downsample = nn.Sequential(\n",
    "                conv3x3(in_channel, out_channel, stride=stride),\n",
    "                nn.BatchNorm2d(out_channel)\n",
    "                )\n",
    "    return nn.Sequential(*[\n",
    "        ResBlock(in_channel, out_channel, stride, downsample = downsample, dilation = dilation) if i == 0 else\n",
    "        ResBlock(out_channel, out_channel, 1, dilation = dilation)\n",
    "        for i in range(block_num)\n",
    "    ])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1fc55884-0a41-46af-bbb8-bcc55be86d47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "net = ResNet(classes = classes, base_channel = 32).to(device)\n",
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)\n",
    "#optimizer = optim.Adam(net.parameters(), lr=0.001)\n",
    "print(device)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "48493633-6b18-408a-a0cd-b770da9f40b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "第 0/24 轮训练\n",
      "----------\n",
      "train 损失: 4.2278 Top-1 准确率: 0.0871 Top-5 准确率: 0.2368\n",
      "val 损失: 3.7391 Top-1 准确率: 0.1515 Top-5 准确率: 0.3812\n",
      "\n",
      "第 1/24 轮训练\n",
      "----------\n",
      "train 损失: 3.8642 Top-1 准确率: 0.1481 Top-5 准确率: 0.3402\n",
      "val 损失: 3.3652 Top-1 准确率: 0.2165 Top-5 准确率: 0.4668\n",
      "\n",
      "第 2/24 轮训练\n",
      "----------\n",
      "train 损失: 3.6870 Top-1 准确率: 0.1821 Top-5 准确率: 0.3860\n",
      "val 损失: 3.1639 Top-1 准确率: 0.2620 Top-5 准确率: 0.5238\n",
      "\n",
      "第 3/24 轮训练\n",
      "----------\n",
      "train 损失: 3.5500 Top-1 准确率: 0.2102 Top-5 准确率: 0.4193\n",
      "val 损失: 2.9922 Top-1 准确率: 0.2908 Top-5 准确率: 0.5673\n",
      "\n",
      "第 4/24 轮训练\n",
      "----------\n",
      "train 损失: 3.4456 Top-1 准确率: 0.2304 Top-5 准确率: 0.4437\n",
      "val 损失: 2.9431 Top-1 准确率: 0.2893 Top-5 准确率: 0.5700\n",
      "\n",
      "第 5/24 轮训练\n",
      "----------\n",
      "train 损失: 3.3590 Top-1 准确率: 0.2490 Top-5 准确率: 0.4628\n",
      "val 损失: 2.7199 Top-1 准确率: 0.3420 Top-5 准确率: 0.6164\n",
      "\n",
      "第 6/24 轮训练\n",
      "----------\n",
      "train 损失: 3.2897 Top-1 准确率: 0.2590 Top-5 准确率: 0.4816\n",
      "val 损失: 2.6647 Top-1 准确率: 0.3631 Top-5 准确率: 0.6406\n",
      "\n",
      "第 7/24 轮训练\n",
      "----------\n",
      "train 损失: 3.2180 Top-1 准确率: 0.2750 Top-5 准确率: 0.4978\n",
      "val 损失: 2.6743 Top-1 准确率: 0.3411 Top-5 准确率: 0.6260\n",
      "\n",
      "第 8/24 轮训练\n",
      "----------\n",
      "train 损失: 3.1625 Top-1 准确率: 0.2888 Top-5 准确率: 0.5135\n",
      "val 损失: 2.5673 Top-1 准确率: 0.3662 Top-5 准确率: 0.6528\n",
      "\n",
      "第 9/24 轮训练\n",
      "----------\n",
      "train 损失: 3.1122 Top-1 准确率: 0.2951 Top-5 准确率: 0.5238\n",
      "val 损失: 2.3823 Top-1 准确率: 0.4139 Top-5 准确率: 0.7000\n",
      "\n",
      "第 10/24 轮训练\n",
      "----------\n",
      "train 损失: 3.0596 Top-1 准确率: 0.3075 Top-5 准确率: 0.5375\n",
      "val 损失: 2.4190 Top-1 准确率: 0.4063 Top-5 准确率: 0.6847\n",
      "\n",
      "第 11/24 轮训练\n",
      "----------\n",
      "train 损失: 3.0291 Top-1 准确率: 0.3129 Top-5 准确率: 0.5444\n",
      "val 损失: 2.3901 Top-1 准确率: 0.4027 Top-5 准确率: 0.6979\n",
      "\n",
      "第 12/24 轮训练\n",
      "----------\n",
      "train 损失: 2.9890 Top-1 准确率: 0.3249 Top-5 准确率: 0.5556\n",
      "val 损失: 2.2963 Top-1 准确率: 0.4319 Top-5 准确率: 0.7235\n",
      "\n",
      "第 13/24 轮训练\n",
      "----------\n",
      "train 损失: 2.9458 Top-1 准确率: 0.3331 Top-5 准确率: 0.5671\n",
      "val 损失: 2.2621 Top-1 准确率: 0.4275 Top-5 准确率: 0.7192\n",
      "\n",
      "第 14/24 轮训练\n",
      "----------\n",
      "train 损失: 2.9238 Top-1 准确率: 0.3346 Top-5 准确率: 0.5706\n",
      "val 损失: 2.2367 Top-1 准确率: 0.4411 Top-5 准确率: 0.7225\n",
      "\n",
      "第 15/24 轮训练\n",
      "----------\n",
      "train 损失: 2.9013 Top-1 准确率: 0.3395 Top-5 准确率: 0.5808\n",
      "val 损失: 2.2078 Top-1 准确率: 0.4478 Top-5 准确率: 0.7336\n",
      "\n",
      "第 16/24 轮训练\n",
      "----------\n",
      "train 损失: 2.8636 Top-1 准确率: 0.3481 Top-5 准确率: 0.5888\n",
      "val 损失: 2.2118 Top-1 准确率: 0.4478 Top-5 准确率: 0.7273\n",
      "\n",
      "第 17/24 轮训练\n",
      "----------\n",
      "train 损失: 2.8416 Top-1 准确率: 0.3536 Top-5 准确率: 0.5916\n",
      "val 损失: 2.1733 Top-1 准确率: 0.4476 Top-5 准确率: 0.7370\n",
      "\n",
      "第 18/24 轮训练\n",
      "----------\n",
      "train 损失: 2.8019 Top-1 准确率: 0.3598 Top-5 准确率: 0.6031\n",
      "val 损失: 2.1571 Top-1 准确率: 0.4499 Top-5 准确率: 0.7383\n",
      "\n",
      "第 19/24 轮训练\n",
      "----------\n",
      "train 损失: 2.7876 Top-1 准确率: 0.3655 Top-5 准确率: 0.6051\n",
      "val 损失: 2.1263 Top-1 准确率: 0.4570 Top-5 准确率: 0.7425\n",
      "\n",
      "第 20/24 轮训练\n",
      "----------\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#loss_record, net = train(trainloader, net, optimizer, criterion, device, epoch_num = 10, save_model = False, testloader = testloader)\u001b[39;00m\n\u001b[1;32m      2\u001b[0m scheduler \u001b[38;5;241m=\u001b[39m lr_scheduler\u001b[38;5;241m.\u001b[39mStepLR(optimizer, step_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m50\u001b[39m, gamma\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs) \u001b[38;5;241m=\u001b[39m \u001b[43mtrain_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtrainloader\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnet\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcriterion\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moptimizer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdevice\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mscheduler\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnum_epochs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m25\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtestloader\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mtestloader\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/deep-learning/FuTong/chao_kk.py:86\u001b[0m, in \u001b[0;36mtrain_model\u001b[0;34m(trainloader, model, criterion, optimizer, device, scheduler, num_epochs, testloader)\u001b[0m\n\u001b[1;32m     83\u001b[0m running_top5_corrects \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m     85\u001b[0m \u001b[38;5;66;03m# 遍历数据\u001b[39;00m\n\u001b[0;32m---> 86\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m inputs, labels \u001b[38;5;129;01min\u001b[39;00m (trainloader \u001b[38;5;28;01mif\u001b[39;00m phase \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtrain\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m testloader):\n\u001b[1;32m     87\u001b[0m     inputs \u001b[38;5;241m=\u001b[39m inputs\u001b[38;5;241m.\u001b[39mto(device)\n\u001b[1;32m     88\u001b[0m     labels \u001b[38;5;241m=\u001b[39m labels\u001b[38;5;241m.\u001b[39mto(device)\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/utils/data/dataloader.py:633\u001b[0m, in \u001b[0;36m_BaseDataLoaderIter.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    630\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sampler_iter \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    631\u001b[0m     \u001b[38;5;66;03m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[39;00m\n\u001b[1;32m    632\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reset()  \u001b[38;5;66;03m# type: ignore[call-arg]\u001b[39;00m\n\u001b[0;32m--> 633\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_next_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    634\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_yielded \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m    635\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataset_kind \u001b[38;5;241m==\u001b[39m _DatasetKind\u001b[38;5;241m.\u001b[39mIterable \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[1;32m    636\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_IterableDataset_len_called \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \\\n\u001b[1;32m    637\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_num_yielded \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_IterableDataset_len_called:\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/utils/data/dataloader.py:1328\u001b[0m, in \u001b[0;36m_MultiProcessingDataLoaderIter._next_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1325\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_data(data)\n\u001b[1;32m   1327\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_shutdown \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_tasks_outstanding \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m-> 1328\u001b[0m idx, data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1329\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_tasks_outstanding \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m   1330\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_dataset_kind \u001b[38;5;241m==\u001b[39m _DatasetKind\u001b[38;5;241m.\u001b[39mIterable:\n\u001b[1;32m   1331\u001b[0m     \u001b[38;5;66;03m# Check for _IterableDatasetStopIteration\u001b[39;00m\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/utils/data/dataloader.py:1294\u001b[0m, in \u001b[0;36m_MultiProcessingDataLoaderIter._get_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1290\u001b[0m     \u001b[38;5;66;03m# In this case, `self._data_queue` is a `queue.Queue`,. But we don't\u001b[39;00m\n\u001b[1;32m   1291\u001b[0m     \u001b[38;5;66;03m# need to call `.task_done()` because we don't use `.join()`.\u001b[39;00m\n\u001b[1;32m   1292\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1293\u001b[0m     \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m-> 1294\u001b[0m         success, data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_try_get_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1295\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m success:\n\u001b[1;32m   1296\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m data\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/site-packages/torch/utils/data/dataloader.py:1132\u001b[0m, in \u001b[0;36m_MultiProcessingDataLoaderIter._try_get_data\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m   1119\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_try_get_data\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout\u001b[38;5;241m=\u001b[39m_utils\u001b[38;5;241m.\u001b[39mMP_STATUS_CHECK_INTERVAL):\n\u001b[1;32m   1120\u001b[0m     \u001b[38;5;66;03m# Tries to fetch data from `self._data_queue` once for a given timeout.\u001b[39;00m\n\u001b[1;32m   1121\u001b[0m     \u001b[38;5;66;03m# This can also be used as inner loop of fetching without timeout, with\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1129\u001b[0m     \u001b[38;5;66;03m# Returns a 2-tuple:\u001b[39;00m\n\u001b[1;32m   1130\u001b[0m     \u001b[38;5;66;03m#   (bool: whether successfully get data, any: data if successful else None)\u001b[39;00m\n\u001b[1;32m   1131\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1132\u001b[0m         data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_data_queue\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1133\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[38;5;28;01mTrue\u001b[39;00m, data)\n\u001b[1;32m   1134\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m   1135\u001b[0m         \u001b[38;5;66;03m# At timeout and error, we manually check whether any worker has\u001b[39;00m\n\u001b[1;32m   1136\u001b[0m         \u001b[38;5;66;03m# failed. Note that this is the only mechanism for Windows to detect\u001b[39;00m\n\u001b[1;32m   1137\u001b[0m         \u001b[38;5;66;03m# worker failures.\u001b[39;00m\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/multiprocessing/queues.py:113\u001b[0m, in \u001b[0;36mQueue.get\u001b[0;34m(self, block, timeout)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m block:\n\u001b[1;32m    112\u001b[0m     timeout \u001b[38;5;241m=\u001b[39m deadline \u001b[38;5;241m-\u001b[39m time\u001b[38;5;241m.\u001b[39mmonotonic()\n\u001b[0;32m--> 113\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_poll\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m    114\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m Empty\n\u001b[1;32m    115\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_poll():\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/multiprocessing/connection.py:262\u001b[0m, in \u001b[0;36m_ConnectionBase.poll\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    260\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_closed()\n\u001b[1;32m    261\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_readable()\n\u001b[0;32m--> 262\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_poll\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/multiprocessing/connection.py:429\u001b[0m, in \u001b[0;36mConnection._poll\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    428\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_poll\u001b[39m(\u001b[38;5;28mself\u001b[39m, timeout):\n\u001b[0;32m--> 429\u001b[0m     r \u001b[38;5;241m=\u001b[39m \u001b[43mwait\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    430\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mbool\u001b[39m(r)\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/multiprocessing/connection.py:936\u001b[0m, in \u001b[0;36mwait\u001b[0;34m(object_list, timeout)\u001b[0m\n\u001b[1;32m    933\u001b[0m     deadline \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mmonotonic() \u001b[38;5;241m+\u001b[39m timeout\n\u001b[1;32m    935\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m--> 936\u001b[0m     ready \u001b[38;5;241m=\u001b[39m \u001b[43mselector\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mselect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    937\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ready:\n\u001b[1;32m    938\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m [key\u001b[38;5;241m.\u001b[39mfileobj \u001b[38;5;28;01mfor\u001b[39;00m (key, events) \u001b[38;5;129;01min\u001b[39;00m ready]\n",
      "File \u001b[0;32m~/miniconda3/lib/python3.10/selectors.py:416\u001b[0m, in \u001b[0;36m_PollLikeSelector.select\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    414\u001b[0m ready \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m    415\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 416\u001b[0m     fd_event_list \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_selector\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpoll\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtimeout\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    417\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mInterruptedError\u001b[39;00m:\n\u001b[1;32m    418\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m ready\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "#loss_record, net = train(trainloader, net, optimizer, criterion, device, epoch_num = 10, save_model = False, testloader = testloader)\n",
    "scheduler = lr_scheduler.StepLR(optimizer, step_size=50, gamma=0.1)\n",
    "net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs) = train_model(trainloader, net, criterion, optimizer, device, scheduler, num_epochs=25, testloader = testloader)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de27fec9-b423-4c34-801b-cdbd8b900ee8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5b42cfa9-4d57-40fd-8d22-928dc18efdbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_cpu_numpy(tensor):\n",
    "    return tensor.cpu().numpy()\n",
    "def to_cpu(list_):\n",
    "    if isinstance(list_, list):\n",
    "        return list(map(to_cpu_numpy,list_))\n",
    "    else:\n",
    "        return to_cpu_numpy(list_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "400f5920-69e2-472d-a629-29281243a487",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/数据增强/deep-learning/FuTong/chao_kk.py:48: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  plt.tight_layout()\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 39564 (\\N{CJK UNIFIED IDEOGRAPH-9A8C}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 35777 (\\N{CJK UNIFIED IDEOGRAPH-8BC1}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 20934 (\\N{CJK UNIFIED IDEOGRAPH-51C6}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 30830 (\\N{CJK UNIFIED IDEOGRAPH-786E}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/root/miniconda3/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: Glyph 29575 (\\N{CJK UNIFIED IDEOGRAPH-7387}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_training_results(train_losses, to_cpu(train_top1_accs), to_cpu(train_top5_accs), val_losses, to_cpu(val_top1_accs), to_cpu(val_top5_accs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0820e2f1-6b3b-47c2-bab3-7cf02cfc182b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('data_enhanced_baseline.pkl', 'wb') as f:\n",
    "    pickle.dump([\n",
    "        net, (train_losses, train_top1_accs, train_top5_accs, val_losses, val_top1_accs, val_top5_accs)\n",
    "    ], f)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75968b42-66f1-485b-9017-f60049d84e71",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6515a9de-44af-4c74-8b34-8e1b7d514b86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6394\n",
      "Accuracy for class: apple is 79.0 %\n",
      "Accuracy for class: aquarium_fish is 71.0 %\n",
      "Accuracy for class: baby  is 60.0 %\n",
      "Accuracy for class: bear  is 32.0 %\n",
      "Accuracy for class: beaver is 50.0 %\n",
      "Accuracy for class: bed   is 66.0 %\n",
      "Accuracy for class: bee   is 77.0 %\n",
      "Accuracy for class: beetle is 71.0 %\n",
      "Accuracy for class: bicycle is 75.0 %\n",
      "Accuracy for class: bottle is 86.0 %\n",
      "Accuracy for class: bowl  is 54.0 %\n",
      "Accuracy for class: boy   is 44.0 %\n",
      "Accuracy for class: bridge is 66.0 %\n",
      "Accuracy for class: bus   is 77.0 %\n",
      "Accuracy for class: butterfly is 63.0 %\n",
      "Accuracy for class: camel is 66.0 %\n",
      "Accuracy for class: can   is 67.0 %\n",
      "Accuracy for class: castle is 79.0 %\n",
      "Accuracy for class: caterpillar is 58.0 %\n",
      "Accuracy for class: cattle is 54.0 %\n",
      "Accuracy for class: chair is 84.0 %\n",
      "Accuracy for class: chimpanzee is 78.0 %\n",
      "Accuracy for class: clock is 58.0 %\n",
      "Accuracy for class: cloud is 79.0 %\n",
      "Accuracy for class: cockroach is 69.0 %\n",
      "Accuracy for class: couch is 60.0 %\n",
      "Accuracy for class: crab  is 58.0 %\n",
      "Accuracy for class: crocodile is 40.0 %\n",
      "Accuracy for class: cup   is 78.0 %\n",
      "Accuracy for class: dinosaur is 60.0 %\n",
      "Accuracy for class: dolphin is 61.0 %\n",
      "Accuracy for class: elephant is 47.0 %\n",
      "Accuracy for class: flatfish is 54.0 %\n",
      "Accuracy for class: forest is 73.0 %\n",
      "Accuracy for class: fox   is 67.0 %\n",
      "Accuracy for class: girl  is 57.0 %\n",
      "Accuracy for class: hamster is 68.0 %\n",
      "Accuracy for class: house is 66.0 %\n",
      "Accuracy for class: kangaroo is 59.0 %\n",
      "Accuracy for class: keyboard is 83.0 %\n",
      "Accuracy for class: lamp  is 53.0 %\n",
      "Accuracy for class: lawn_mower is 79.0 %\n",
      "Accuracy for class: leopard is 60.0 %\n",
      "Accuracy for class: lion  is 70.0 %\n",
      "Accuracy for class: lizard is 37.0 %\n",
      "Accuracy for class: lobster is 46.0 %\n",
      "Accuracy for class: man   is 49.0 %\n",
      "Accuracy for class: maple_tree is 55.0 %\n",
      "Accuracy for class: motorcycle is 96.0 %\n",
      "Accuracy for class: mountain is 79.0 %\n",
      "Accuracy for class: mouse is 39.0 %\n",
      "Accuracy for class: mushroom is 64.0 %\n",
      "Accuracy for class: oak_tree is 78.0 %\n",
      "Accuracy for class: orange is 94.0 %\n",
      "Accuracy for class: orchid is 72.0 %\n",
      "Accuracy for class: otter is 36.0 %\n",
      "Accuracy for class: palm_tree is 86.0 %\n",
      "Accuracy for class: pear  is 66.0 %\n",
      "Accuracy for class: pickup_truck is 78.0 %\n",
      "Accuracy for class: pine_tree is 57.0 %\n",
      "Accuracy for class: plain is 92.0 %\n",
      "Accuracy for class: plate is 61.0 %\n",
      "Accuracy for class: poppy is 79.0 %\n",
      "Accuracy for class: porcupine is 47.0 %\n",
      "Accuracy for class: possum is 38.0 %\n",
      "Accuracy for class: rabbit is 46.0 %\n",
      "Accuracy for class: raccoon is 63.0 %\n",
      "Accuracy for class: ray   is 50.0 %\n",
      "Accuracy for class: road  is 91.0 %\n",
      "Accuracy for class: rocket is 72.0 %\n",
      "Accuracy for class: rose  is 55.0 %\n",
      "Accuracy for class: sea   is 72.0 %\n",
      "Accuracy for class: seal  is 28.0 %\n",
      "Accuracy for class: shark is 47.0 %\n",
      "Accuracy for class: shrew is 42.0 %\n",
      "Accuracy for class: skunk is 86.0 %\n",
      "Accuracy for class: skyscraper is 85.0 %\n",
      "Accuracy for class: snail is 46.0 %\n",
      "Accuracy for class: snake is 51.0 %\n",
      "Accuracy for class: spider is 74.0 %\n",
      "Accuracy for class: squirrel is 46.0 %\n",
      "Accuracy for class: streetcar is 50.0 %\n",
      "Accuracy for class: sunflower is 85.0 %\n",
      "Accuracy for class: sweet_pepper is 53.0 %\n",
      "Accuracy for class: table is 49.0 %\n",
      "Accuracy for class: tank  is 79.0 %\n",
      "Accuracy for class: telephone is 66.0 %\n",
      "Accuracy for class: television is 79.0 %\n",
      "Accuracy for class: tiger is 66.0 %\n",
      "Accuracy for class: tractor is 72.0 %\n",
      "Accuracy for class: train is 75.0 %\n",
      "Accuracy for class: trout is 78.0 %\n",
      "Accuracy for class: tulip is 51.0 %\n",
      "Accuracy for class: turtle is 56.0 %\n",
      "Accuracy for class: wardrobe is 95.0 %\n",
      "Accuracy for class: whale is 59.0 %\n",
      "Accuracy for class: willow_tree is 57.0 %\n",
      "Accuracy for class: wolf  is 75.0 %\n",
      "Accuracy for class: woman is 31.0 %\n",
      "Accuracy for class: worm  is 59.0 %\n"
     ]
    }
   ],
   "source": [
    "show_all_class_acc(classes, testloader, net, device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fee92407-cdd0-4567-b047-04d0733e7352",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df21b0f2-62b7-4ce3-a94d-cacbf4e26aa8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37015137-6e99-4720-aaa0-1146bb2f4e09",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3e6bcd8-be18-43cf-afe4-4a35930a24cc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
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 },
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